Peter Krenesky

Biography

Peter is the Lead Software Engineer for the Open Source Lab. During his six years at the lab, he’s worked on many projects to improve life at the lab and academic computing. Peter founded the Ganeti Web Manager project in September 2010 to make cluster management at the OSL easier and to power the Supercell testing cluster.

Some of Peter’s current projects include the Protein Geometry Database, a tool aiding biochemistry researchers, and Pydra, a cluster computing solution for Python. Past projects have included software for the One Laptop Per Child project and Helix Media Player. In his spare time, he hacks on Android applications.

He holds a B.A. in Computer Science from the Wentworth Institute of Technology.

Open Source Bridge 2011

Sessions for this user

Ganeti is a cluster virtualization management software tool built on top of existing virtualization technologies such as Xen or KVM and other Open Source software. This hands-on tutorial will give an overview of Ganeti, how to install it, how to get started deploying VMs, & administrative guide to Ganeti. The tutorial will also cover installing & using Ganeti Web Manager as a web front-end.

Proposals for this user

Looking for an easy, scalable way to manage your Ganeti-based clusters? Ganeti Web Manager provides admins an easy to deploy, Django based GUI that effectively manages private clusters & works equally well for providing customers access. With a caching system designed to scale to thousands of virtual machines without decreasing performance, Ganeti Web Manager makes cluster management truly simple.

Open Source Bridge 2010

Sessions for this user

Touchscreen is a platform for creating interactive kiosk and dashboard displays. It powers presentations for visitors to the Open Source Lab's data center and the network operations center. Come learn how touchscreen works and how to use it for your own display screens.

Open Source Bridge 2009

Proposals for this user

Pydra provides an easy to use framework for writing, running and managing distributed computing jobs in python. Come hear an overview of Pydra project and how you can use it to deploy your own distributed computing cluster.